DocumentCode :
555014
Title :
Statistical approach for electrical generator consumption in an aeronautical purpose
Author :
Roblot, G. ; Guerin, Pascal ; Baumann, C.
Author_Institution :
Airbus, Toulouse, France
fYear :
2011
fDate :
7-9 July 2011
Firstpage :
1
Lastpage :
6
Abstract :
For large commercial aircrafts, electrical power needs have increased with the last generation of aircraft to reach an installed power close to 1MW. The generator size depends on this installed power, the electrical load analysis and certification requirements. This paper presents a statistical approach to forecast the electrical power consumed. Based on an in-service measurement on commercial aircraft, the first analysis of consumption is performed on multiple flights. An adapted modeling of the loads through an efficient clustering is the input of a Monte-Carlo algorithm. This algorithm is used to run simulations in order to find a posteriori electrical generators consumption.
Keywords :
Monte Carlo methods; aircraft power systems; maximum likelihood estimation; power consumption; Monte-Carlo algorithm; aeronautical purpose; certification requirements; commercial aircrafts; electrical generator consumption; electrical load analysis; electrical power; in-service measurement; statistical approach; Aircraft; Generators; Load modeling; Monte Carlo methods; Power measurement; Temperature measurement; Load modeling; Maximum a posteriori estimation; Monte Carlo methods; Power system modeling; System analysis and design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energetics (IYCE), Proceedings of the 2011 3rd International Youth Conference on
Conference_Location :
Leiria
Print_ISBN :
978-1-4577-1494-8
Type :
conf
Filename :
6028280
Link To Document :
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